Metaheuristics for Hard Optimization: Methods and Case Studies

By Johann Dréo, Patrick Siarry, A. Pétrowski, É. Taillard. 2005

483 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/2c9df50e8ebb4247517a291c8c8d7091ef879f2f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ilhem Boussaïd
2. I. Payá-Zaforteza
3. Julien Lepagnot
4. V. Yepes
5. F. González-Vidosa
6. Antonio Hospitaler
7. Patrick Siarry
8. Seyedali Mirjalili

Citations in the corpus

• On the Weibull cost estimation of building frames designed by simulated annealing (2010, methodology): “Heuristic methods include a large number of algorithms, such as genetic algorithms (GA henceforth), tabu search, simulated annealing (SA), ant colony optimization and neuronal networks, among others [3–6].”
• A survey on optimization metaheuristics (2013, methodology): “The TA method compares favorably with simulated annealing for combinatori al optimizati on problems , like the traveling salesman problem [76].”